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Cybersecurity services

AI security for your organisation.

AI tools can introduce new data flows, identities, integrations and application behaviour. AOS helps organisations assess AI-related exposure and identify proportionate safeguards before use becomes widespread or difficult to govern.

Discuss this service
Right-fit technology: the platform and scope depend on your requirements, existing environment and operating model. Check Point is one authorised UK partner option where it fits; other vendor references do not imply official partner status. Explore the technology ecosystem.

Why it matters

Start with the exposure and the outcome.

Employees may use public tools, teams may connect AI features to business data, and developers may build applications or agents with new privileges. The controls needed depend on the use case, data sensitivity, platform and who is accountable for it.

Common risks addressed

  • Sensitive information entered into unapproved services
  • AI applications with excessive data or system access
  • Prompt injection, unsafe outputs or insecure integrations
  • Unclear ownership and approval of AI tools or agents
  • Limited testing of AI-specific security behaviour

What the work can cover

Capabilities are scoped to your environment.

The portfolio describes available capability areas. The specific product, access, implementation activity and ongoing responsibilities are confirmed in a proposal before work begins.

  • Review of AI usage and application exposure
  • Security considerations for AI applications and agents
  • Controls for data access, identity and monitoring
  • AI red teaming as a scoped assessment option
  • Practical governance and remediation recommendations

Expected outcomes

Useful, practical progress.

Organisations introducing generative AI, integrating AI into business applications, or building agents and services that can access company data or perform actions.

A clearer inventory and understanding of AI-related risk
Recommendations for controls proportionate to use and data
A path to secure experimentation and deployment
Questions and priorities for business, IT and security owners

Questions & answers

Frequently asked questions

Can AI use be made completely risk-free?

No. Security measures can reduce and manage exposure, but they cannot guarantee that every output, integration or future threat is safe.

What does AI red teaming involve?

A scoped exercise tests how an AI application behaves under selected adversarial scenarios. Scope, data handling, success criteria and any environment access must be agreed before testing.

Can you secure AI agents?

We can help assess agent permissions, data access, integrations and oversight requirements. Specific controls depend on the platform and the implementation.

Related services

Cloud and Microsoft 365 security →Identity and access security →Exposure management →Our approach →

Understand your next security priority.

Start with a free 30-minute review and a practical, prioritised view.

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